Homework 2
1. This problem will be performed in R using the R commands.
(a) To fit a simple linear regression model relating games won (y) to yards gained rushing by
opponents (x8 ), we first need to
Homework 1: Due 08/31/2016
1. Problem 1.11 from KNNL book: The regression function relating production
output by an employee after taking a training program (y) to the
Homework 2
Due 09/07/2016
1. Problem 2.1: Table B.1 gives data concerning the performance of the 26 National Football
League teams in 1976. It is suspected that the number of yards gained rushing by o
Midterm 1 - 09/28/2016
Name:
ID:
Problem 1:
Problem 2:
Problem 3:
Problem 4:
Problem 5:
Bonus points
Total:
out
out
out
out
out
of
of
of
of
of
20
18
40
12
10
out of 100
1. This test consists of 10 pag
Homework 1
1. We have the following model
yi = 0 + 1 xi i , i = 1, 2, ., n,
where
yi is the response, that is the production after taking a training for the ith person
0 , 1 are the unknown paramete
Review for Midterm 1
1. The flow rate y (m3 /min) in a device used for air-quality measurement depends on the pressure drop x
(in. of water) across the devices filter. Suppose that for x values betwee
Review for Midterm 1
1. The flow rate y (m3 /min) in a device used for air-quality measurement depends on the pressure drop x
(in. of water) across the devices filter. Suppose that for x values betwee
1
Chapter 2: Simple Linear Regression
The model: y = 0 + 1 x + , where y is the response variable, 0 and 1 are the unknown regression coefficients,
x is the predictor variable, assumed to be constant
STA 4033
Mathematical Statistics
with Computer Applications
Lecture 16
Brett Presnell
Department of Statistics
University of Florida
11 June 2001
Contents
6.3 Formulas for the LSEs . . . . . . . . . .